Strength of Effect Index

The heritability coefficients and the genetic gains associated with individual, combined and among and within progeny selection, and with multi-effect index selection in long-term rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Muell.-Arg.] breeding were determined using effective population size (Ne) restriction. Twenty-two half sib progenies were planted at the Jaú Experimental Station, São Paulo State, Brazil, in a complete randomized block design, with five replications and 10 plants per plot. The following traits were assessed when the plants were three years old: number of laticiferous vessel rings (NR), dry rubber production (RP), bark thickness (BT) and stem girth (SG). Significant variability was found among progeny with good chances of obtaining genetic gain for RP, BT and SG. Effective population size restriction caused a greater reduction in genetic gain for RP with combined selection and with the multi-effect index than for individual or among and within progeny selection. The simultaneous use of accuracy values and genetic gain from the lower limits of the confidence intervals for gain indicated that individual selection is to be preferred in Hevea breeding programs.

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Selection of Appropriate Spatial Resolution for the Meteorological Data for Regional Winter Wheat Potential Productivity Simulation in China Based on WheatGrow Model

Agronomy ◽

10.3390/agronomy8100198 ◽

2018 ◽

Vol 8 (10) ◽

pp. 198 ◽

Cited By ~ 2

Author(s):

Xiaohu Zhang ◽

Hao Xu ◽

Li Jiang ◽

Jianqing Zhao ◽

Wenjun Zuo ◽

...

Keyword(s):

Winter Wheat ◽

Spatial Heterogeneity ◽

Spatial Variation ◽

Spatial Resolution ◽

Scale Effect ◽

Meteorological Data ◽

Small Range ◽

Potential Productivity ◽

Selection Of ◽

Effect Index

The crop model based on physiology and ecology has been widely applied to the simulation of regional potential productivity. By determining the appropriate spatial resolution of meteorological data required for model simulation for different regions, we can reduce the difficulty of acquiring model input data, thereby improving the regional computing efficiency of the model and increasing the model applications. In this study, we investigated the appropriate spatial resolution of meteorological data needed for the regional potential productivity simulation of the WheatGrow model by scale effect index and verify the feasibility of using the landform to obtain the appropriate spatial resolution of meteorological data required by the potential productivity simulation for the winter wheat region of China. The research results indicated that the spatial variation of landforms in the winter wheat region of China is significantly correlated to the spatial variation of multi-year meteorological data. Based on the scale effect index, we can obtain a spatial distribution of appropriate spatial resolution for the meteorological data required for the regional potential productivity simulation of the WheatGrow model for the winter wheat region of China. Moreover, although we can use the spatial heterogeneity of landforms to guide the selection of appropriate spatial resolution for the meteorological data, in the regions where the spatial heterogeneity of the landform is relatively weak or relatively strong over a small range, the method of using a single heterogeneity index derived from semi-variogram cannot well reflect the scale effect of simulation results and needs further improvement.

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Topological Steric Effect Index and Its Application

Journal of Chemical Information and Computer Sciences ◽

10.1021/ci034266b ◽

2004 ◽

Vol 44 (2) ◽

pp. 678-687 ◽

Cited By ~ 22

Author(s):

Chenzhong Cao ◽

Li Liu

Keyword(s):

Steric Effect ◽

Effect Index

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Study on Pressure Sensitive Effect of Permeability of Raw Coal with Containing Gas and Low Permeability

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.524-527.709 ◽

2012 ◽

Vol 524-527 ◽

pp. 709-716 ◽

Cited By ~ 1

Author(s):

Jian Xian Tang ◽

Jun Yao Yao ◽

Tao Deng

Keyword(s):

Effective Stress ◽

Coal Sample ◽

Gas Permeability ◽

Low Permeability ◽

Pressure Sensitive ◽

Unloading Rate ◽

Stress States ◽

Permeability Increase ◽

Stress Drops ◽

Effect Index

Based on the low permeability raw coal samples of coal seams of Daichiba coal mine of Guangwang group, we study the change of permeability under different stress states by a self-developed three-axis penetration device. It is proved by experiments that the permeability of coal sample increases rapidly along with the growing of the pressure at the procedure of loading at lower actual stress levels whose rules of changes is the function of negative exponent. In the process of unloading, rate of permeability increase slowly with the reduction of effective stress. It will greatly improved when the effective stress drops to a certain level, and this conformed to power function law. As the influence of coal seam gas permeability solid coupling factors is very complex, the normalized treatment for the factors has done by defining pressure-sensitive effect coefficient of coal samples permeability. Based on the results of the test to establish the relationship between pressure sensitive effect index and effective stress, this relationship reflects the trend of the coal sample permeability changes in the effective stress. And derive a functional relationship based on the coal sample of the pressure-sensitive effect index of permeability and effective stress.

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